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Micron Technology

Makes memory and storage chips for AI and PCs

Deviation & Yield Tail Yield Analysis Engineer

Process EngineeringConfirmed live in the last 24 hours
Full-timeBoise, ID, USANo salary listedIn-person

About the Job

Requirements

  • A Master’s degree in Electrical Engineering, Materials Science, Physics, or a related technical discipline is required.
  • At least 10 years of semiconductor industry experience is required.
  • At least 10 years of experience in semiconductor physics, transistor operation, scaling limitations, reliability fundamentals, and CMOS characterization methods is required.
  • At least 7 years of experience using data analysis tools such as JMP, Python, or similar software is required.
  • Demonstrated experience performing data-driven yield analysis and root-cause investigations in a semiconductor manufacturing environment is required.

Responsibilities

  • Monitor probe yield performance to identify yield deviations, yield-tail losses, emerging failure signatures, and excursion events using lot, wafer, die, bitmap, and parametric analysis.
  • Lead MBPS and root-cause investigations using hypothesis-driven problem solving, statistical analysis, fault trees, and process correlation techniques to achieve verified physical root cause.
  • Drive defect characterization and failure-analysis activities by correlating electrical signatures, inspection data, EFA/PFA findings, and yield-loss mechanisms.
  • Partner with Process Integration, Process Engineering, RDA, Quality, Manufacturing, and Failure Analysis teams to implement and validate corrective and preventive actions.
  • Develop and deploy analytics, dashboards, automation solutions, and AI-enabled workflows that improve issue sourcing, root-cause analysis efficiency, and yield performance.

Desired Qualifications

  • DRAM manufacturing experience.
  • At least 5 years of experience in yield-tail analysis, yield deviation sourcing, or RDA within a manufacturing or high-volume manufacturing environment.
  • Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield improvement initiatives.
  • Experience developing automation, dashboards, or AI-enabled solutions that improve engineering productivity and problem-solving effectiveness.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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